Wei Zhang

Assistant Professor

Wei Zhang

Assistant Professor

Academic Appointment(s)

Administration
Department of Computer & Cyber Sciences

School of Computer and Cyber Sciences
Department of Computer & Cyber Sciences

Bio

Dr. Wei Zhang is an assistant professor in the School of Computer and Cyber Sciences at Augusta University. Our primary research interest concentrates on interdisciplinary studies of state-of-art machine learning and computational neuroscience, more specifically identifying functional connectivity networks via functional Magnetic Resonance Imaging (fMRI). We have contributed to the field by advancing the machine learning approach and cutting-edge optimization techniques to investigate the hierarchical functional connectivity in humans, as well as applying innovative approaches to clinical translational application on neurodegenerative disease.

  • WZHANG2@augusta.edu
  • UH115

Education

  • Ph.D., Computer Science. University of Georgia, 2019

  • MENG, Engineering, Other Tongji University, 2013

  • BE, Automation Engineer Technology Tongji University, 2009

Courses Taught Most Recent Academic Year

  • CSCI 8940

    Dissertation Research
  • CSCI 8510

    Independent Study: Multimodal Lang Models for Med
  • CYBR 2600

    Networking & Cyber Security
  • CSCI 8720

    Problems in Computer & Cyber

Teaching Interests

Dr. Wei Zhang specializes in machine learning, numerical optimization, computational neuroscience, and quantum artificial intelligence. His teaching interests align closely with these areas, and he is particularly enthusiastic about offering courses such as Introduction to Machine Learning, Machine Learning, Introduction to Artificial Intelligence, Convex Optimization, and Medical Image Analysis.

Scholarship

Selected Recent Publications

  • SENDER: SEmi-Nonlinear Deep Efficient Reconstructor for Extraction Canonical, Meta, and Sub Functional Connectivity in the Human Brain, 2022
    Manuscript
  • DEMAND: Deep Matrix Approximately NonlinearDecomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain, 2022
    Manuscript
  • SADAM: Stochastic Adam, A Stochastic Operator for First-Order Gradient-based Optimizer, 2022
    Manuscript

Research Interests

Machine Learning, Quantum Artificial Intelligence, Large Language Model, Deep Learning, Convex/Nonconvex Optimization, and Computational Neuroscience

Department Service

  • Faculty Recruitment Committee 2022 - 2023

    Role: Attendee, Meeting

Professional Service

  • The Second Xiangya Hospital/Meta-Radiology 2023 - 2024

    Role: Reviewer
  • Neurocomputing 2022 - 2023

    Role: Reviewer
  • Medical Image Computing and Computer Assisted Intervention Society 2023 - 2023

    Role: Reviewer
  • Organization for Human Brain Mapping 2023 - 2023

    Role: Reviewer